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Annotation Labelling Jobs in Missouri (NOW HIRING)

Jobgether

$2 - $5/hr

Our partner is looking for a Video Annotation & Data Labeling Specialist based in Netherlands. This role offers the opportunity to contribute directly to the development and improvement of next ...

Augmodo

Software Engineer - CV Tooling

California, MO · On-site

$150 - $200/hr

Train and integrate lightweight, custom CV models, active learning workflows, and pre-labeling agents specifically designed to accelerate human annotation and data quality control. * Data Curation ...

Veeda

Member of Technical Staff - Data

California, MO · On-site

$150 - $200/hr

Annotation & Auto-Labeling: Produce the labels the models need, such as VLM captions, camera pose from feed-forward reconstruction (VGGT, MASt3R), and depth and segmentation pseudo-labels, and hold ...

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Annotation Labelling information

What is annotation labelling?

Annotation labelling is the process of tagging or marking data—such as images, text, or audio—with relevant information or labels. This is an essential step in preparing datasets for machine learning and artificial intelligence models, as it helps algorithms understand and learn from raw data. Annotation labelling can include tasks like identifying objects in photos, transcribing speech, or categorizing text. Skilled annotators ensure accuracy and consistency to improve model performance. People in this role often use specialized tools or software to streamline and standardize the annotation process.

What are the key skills and qualifications needed to thrive as an annotation labelling specialist?

To thrive as an Annotation Labelling Specialist, you need strong attention to detail, data analysis capabilities, and familiarity with data annotation standards, usually supported by a background in computer science or related fields. Proficiency with annotation tools such as Labelbox, CVAT, or Supervisely, and sometimes knowledge of basic programming or scripting, is typically required. Excellent communication, consistency, and the ability to follow complex instructions are crucial soft skills for producing high-quality labeled data. These skills ensure the accuracy and reliability of datasets, which are foundational for successful machine learning and AI model development.

What are some common challenges faced by annotation labelling professionals, and how can they be managed?

Annotation Labelling professionals often encounter challenges such as maintaining high accuracy while handling repetitive data, meeting tight deadlines, and adapting to evolving project guidelines. To manage these, it’s important to develop strong attention to detail, regularly communicate with team leads to clarify instructions, and leverage annotation tools efficiently. Collaborating closely with quality assurance teams can also help identify and correct errors early, ensuring consistently high-quality outputs.

What is the difference between Annotation Labelling vs Data Labeling Specialist?

AspectAnnotation LabellingData Labeling Specialist
CredentialsBasic technical skills, attention to detailSimilar skills, sometimes additional domain knowledge
Work EnvironmentData annotation platforms, remote or officeData annotation tasks, often remote or in-office
Industry UsageAI, machine learning, autonomous vehiclesAI, machine learning, healthcare, retail
Search & ComparisonCommonly compared for entry-level data tasksRelated but broader role

Annotation Labelling involves marking data such as images, text, or videos to train AI models. Data Labeling Specialists perform similar tasks but may have a broader scope, including verifying and managing labeled data. Both roles are essential in AI development, often overlapping in skills and work environment, but Annotation Labelling is more focused on the annotation process itself.

What are popular job titles related to Annotation Labelling jobs in Missouri?

For Annotation Labelling jobs in Missouri, the most frequently searched job titles are:

What job categories do people searching Annotation Labelling jobs in Missouri look for?

The top searched job categories for Annotation Labelling jobs in Missouri are:

What cities in Missouri are hiring for Annotation Labelling jobs?

Cities in Missouri with the most Annotation Labelling job openings:

Annotation Labelling jobs near you

Video Annotation & Data Labeling Specialist

Jobgether

On-site

$2 - $5/hr

Contractor

Posted 13 days ago

Key responsibilities

  • Analyze video content to identify and describe observable actions and events.

  • Segment videos into clearly defined, action-based sequences without gaps or overlaps.

  • Review AI-generated captions for accuracy and correct inconsistencies or unclear descriptions.

Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Video Annotation & Data Labeling Specialist based in Netherlands.

This role offers the opportunity to contribute directly to the development and improvement of next-generation AI models through high-quality video data annotation.
You will analyze video content, segment sequences, label observable actions, and verify AI-generated descriptions for accuracy.
No previous professional experience is required, making this an accessible opportunity for candidates who are detail-oriented and eager to learn.
You will receive structured training and certification before progressing to paid production work.
Consistent, high-quality performance can provide priority access to more advanced and higher-paid AI data projects.
The role is designed for reliable contributors who can follow precise guidelines and maintain strong accuracy across large volumes of annotation tasks.

Accountabilities
  • Write objective, concise 1-2 sentence summaries of video sequences using simple and accurate English.
  • Segment videos into clearly defined, action-based sequences without gaps or overlaps.
  • Label and describe only actions that are directly and visually verifiable in the video.
  • Use simple present tense and consistent terminology when creating annotations.
  • Review AI-generated captions and identify or correct inaccuracies, inconsistencies, and unclear descriptions.
  • Follow project-specific annotation guidelines precisely to ensure consistency across datasets.
  • Maintain a high level of accuracy and productivity while completing assigned annotation batches.
  • Complete the required onboarding and certification activities, including reviewing guidelines, practicing with the annotation platform, and successfully completing five certification tasks.
  • Apply feedback from quality reviews to continuously improve annotation accuracy and consistency.
Requirements
  • No previous professional experience in data annotation or AI is required; beginners are welcome.
  • Strong attention to detail and the ability to identify specific actions and events in video content.
  • Ability to describe only what is visibly observable without making assumptions, interpretations, or unsupported conclusions.
  • Strong written English skills with the ability to produce clear, concise, and objective descriptions.
  • Ability to consistently follow detailed instructions, annotation guidelines, and quality standards.
  • Commitment to maintaining a target benchmark of 95%+ accuracy.
  • Strong organizational skills and the ability to manage repetitive tasks while maintaining accuracy and focus.
  • Ability to learn new annotation tools and workflows quickly.
  • Reliable availability for 25-40 hours per week for long-term data annotation projects.
  • Willingness to complete an approximately 3-hour certification and onboarding process before entering paid production work.
Benefits
  • Compensation of $2.00-$5.00, depending on verified quality and productivity.
  • 25-40 hours per week of dedicated, long-term data annotation opportunities.
  • No prior professional experience required, with beginners encouraged to apply.
  • Structured onboarding, training materials, and practical experience with an annotation platform.
  • Certification process designed to prepare contributors for paid production work.
  • All certification hours are paid once you begin performing production tasks.
  • Priority access to advanced and higher-paid projects based on successful performance.
  • Opportunity to gain practical experience contributing to AI model development and verification.
  • Long-term project opportunities for consistent, high-quality contributors.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
 Why Apply Through Jobgether? 
 
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
 
 
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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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